Using Semantic Web technology to support icd-11 textual definitions authoring [0.03%]
利用语义网络技术支持ICD-11文本定义创作
Guoqian Jiang,Harold R Solbrig,Christopher G Chute
Guoqian Jiang
The beta phase of the 11th revision of International Classification of Diseases (ICD-11) intends to accept public input through a distributed model of authoring. One of the core use cases is to create textual definitions for the ICD categor...
A unified approach for debugging is-a structure and mappings in networked taxonomies [0.03%]
用于网络分类体系中is-a结构和映射的统一调试方法
Patrick Lambrix,Valentina Ivanova
Patrick Lambrix
Background: With the increased use of ontologies and ontology mappings in semantically-enabled applications such as ontology-based search and data integration, the issue of detecting and repairing defects in ontologies an...
Semantic querying of relational data for clinical intelligence: a semantic web services-based approach [0.03%]
基于语义网络服务的临床智能的关系数据语义查询方法研究
Alexandre Riazanov,Artjom Klein,Arash Shaban-Nejad et al.
Alexandre Riazanov et al.
Background: Clinical Intelligence, as a research and engineering discipline, is dedicated to the development of tools for data analysis for the purposes of clinical research, surveillance, and effective health care manage...
Building Linked Open Data towards integration of biomedical scientific literature with DBpedia [0.03%]
构建链接开放数据以便将生物医学科学文献与DBpedia集成
Yasunori Yamamoto,Atsuko Yamaguchi,Akinori Yonezawa
Yasunori Yamamoto
Background: There is a growing need for efficient and integrated access to databases provided by diverse institutions. Using a linked data design pattern allows the diverse data on the Internet to be linked effectively an...
Georgios Kontonatsios,Ioannis Korkontzelos,Balakrishna Kolluru et al.
Georgios Kontonatsios et al.
Background: U-Compare is a text mining platform that allows the construction, evaluation and comparison of text mining workflows. U-Compare contains a large library of components that are tuned to the biomedical domain. U...
The 3rd DBCLS BioHackathon: improving life science data integration with Semantic Web technologies [0.03%]
第3届DBCLS BioHackathon：利用语义网技术改善生命科学数据集成
Toshiaki Katayama,Mark D Wilkinson,Gos Micklem et al.
Toshiaki Katayama et al.
Background: BioHackathon 2010 was the third in a series of meetings hosted by the Database Center for Life Sciences (DBCLS) in Tokyo, Japan. The overall goal of the BioHackathon series is to improve the quality and access...
Dynamic enhancement of drug product labels to support drug safety, efficacy, and effectiveness [0.03%]
用于支持药品安全、有效性和适宜性的动态增强型药品说明书
Richard D Boyce,John R Horn,Oktie Hassanzadeh et al.
Richard D Boyce et al.
Out-of-date or incomplete drug product labeling information may increase the risk of otherwise preventable adverse drug events. In recognition of these concerns, the United States Federal Drug Administration (FDA) requires drug product labe...
Johan Karlsson,Oswaldo Trelles
Johan Karlsson
Background: The amount of web-based resources (databases, tools etc.) in biomedicine has increased, but the integrated usage of those resources is complex due to differences in access protocols and data formats. However, ...
Kavishwar B Wagholikar,Manabu Torii,Siddhartha R Jonnalagadda et al.
Kavishwar B Wagholikar et al.
Background: The availability of annotated corpora has facilitated the application of machine learning algorithms to concept extraction from clinical notes. However, high expenditure and labor are required for creating the...
OPPL-Galaxy, a Galaxy tool for enhancing ontology exploitation as part of bioinformatics workflows [0.03%]
一种增强生物信息学工作流中本体利用的galaxy工具oppl-galaxy
Mikel Egaña Aranguren,Jesualdo Tomás Fernández-Breis,Chris Mungall et al.
Mikel Egaña Aranguren et al.
Background: Biomedical ontologies are key elements for building up the Life Sciences Semantic Web. Reusing and building biomedical ontologies requires flexible and versatile tools to manipulate them efficiently, in partic...